Predicting VR cybersickness and its impact on visuomotor performance using head rotations and field (in)dependence
Introduction: This exploratory study aims to participate in the development of the VR framework by focusing on the issue of cybersickness. The main objective is to explore the possibilities of predicting cybersickness using i) field dependence-independence measures and ii) head rotations data throug...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-11-01
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| Series: | Frontiers in Virtual Reality |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frvir.2023.1307925/full |
| _version_ | 1797450844236414976 |
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| author | Arthur Maneuvrier Arthur Maneuvrier Ngoc-Doan-Trang Nguyen Patrice Renaud |
| author_facet | Arthur Maneuvrier Arthur Maneuvrier Ngoc-Doan-Trang Nguyen Patrice Renaud |
| author_sort | Arthur Maneuvrier |
| collection | DOAJ |
| description | Introduction: This exploratory study aims to participate in the development of the VR framework by focusing on the issue of cybersickness. The main objective is to explore the possibilities of predicting cybersickness using i) field dependence-independence measures and ii) head rotations data through automatic analyses. The second objective is to assess the impact of cybersickness on visuomotor performance.Methods: 40 participants completed a 13.5-min VR immersion in a first-person shooter game. Head rotations were analyzed in both their spatial (coefficients of variations) and temporal dimensions (detrended fluctuations analyses). Exploratory correlations, linear regressions and clusters comparison (unsupervised machine learning) analyses were performed to explain cybersickness and visuomotor performance. Traditional VR human factors (sense of presence, state of flow, video game experience, age) were also integrated.Results: Results suggest that field dependence-independence measured before exposure to VR explain ¼ of the variance of cybersickness, while the Disorientation scale of the Simulator Sickness Questionnaire predicts 16.3% of the visuomotor performance. In addition, automatic analyses of head rotations during immersion revealed two different clusters of participants, one of them reporting more cybersickness than the other.Discussion: These results are discussed in terms of sensory integration and a diminution of head rotations as an avoidance behavior of negative symptoms. This study suggests that measuring field dependence-independence using the (Virtual) Rod and Frame Test before immersion and tracking head rotations using internal sensors during immersion might serve as powerful tools for VR actors. |
| first_indexed | 2024-03-09T14:45:26Z |
| format | Article |
| id | doaj.art-6ecedd34f4de46db9cfda71227518f5e |
| institution | Directory Open Access Journal |
| issn | 2673-4192 |
| language | English |
| last_indexed | 2024-03-09T14:45:26Z |
| publishDate | 2023-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Virtual Reality |
| spelling | doaj.art-6ecedd34f4de46db9cfda71227518f5e2023-11-27T06:52:20ZengFrontiers Media S.A.Frontiers in Virtual Reality2673-41922023-11-01410.3389/frvir.2023.13079251307925Predicting VR cybersickness and its impact on visuomotor performance using head rotations and field (in)dependenceArthur Maneuvrier0Arthur Maneuvrier1Ngoc-Doan-Trang Nguyen2Patrice Renaud3Univ Brest, Lab-STICC, CNRS, UMR, 6285, Brest, FranceLaboratoire de Cyberpsychologie, Département de psychoéducation et de psychologie, Université du Québec en Outaouais, Gatineau, QC, CanadaUniv Brest, Lab-STICC, CNRS, UMR, 6285, Brest, FranceLaboratoire de Cyberpsychologie, Département de psychoéducation et de psychologie, Université du Québec en Outaouais, Gatineau, QC, CanadaIntroduction: This exploratory study aims to participate in the development of the VR framework by focusing on the issue of cybersickness. The main objective is to explore the possibilities of predicting cybersickness using i) field dependence-independence measures and ii) head rotations data through automatic analyses. The second objective is to assess the impact of cybersickness on visuomotor performance.Methods: 40 participants completed a 13.5-min VR immersion in a first-person shooter game. Head rotations were analyzed in both their spatial (coefficients of variations) and temporal dimensions (detrended fluctuations analyses). Exploratory correlations, linear regressions and clusters comparison (unsupervised machine learning) analyses were performed to explain cybersickness and visuomotor performance. Traditional VR human factors (sense of presence, state of flow, video game experience, age) were also integrated.Results: Results suggest that field dependence-independence measured before exposure to VR explain ¼ of the variance of cybersickness, while the Disorientation scale of the Simulator Sickness Questionnaire predicts 16.3% of the visuomotor performance. In addition, automatic analyses of head rotations during immersion revealed two different clusters of participants, one of them reporting more cybersickness than the other.Discussion: These results are discussed in terms of sensory integration and a diminution of head rotations as an avoidance behavior of negative symptoms. This study suggests that measuring field dependence-independence using the (Virtual) Rod and Frame Test before immersion and tracking head rotations using internal sensors during immersion might serve as powerful tools for VR actors.https://www.frontiersin.org/articles/10.3389/frvir.2023.1307925/fullmotion sicknessvirtual realityfield-dependencesense of presenceeyes-hand coordinationkinetosis |
| spellingShingle | Arthur Maneuvrier Arthur Maneuvrier Ngoc-Doan-Trang Nguyen Patrice Renaud Predicting VR cybersickness and its impact on visuomotor performance using head rotations and field (in)dependence Frontiers in Virtual Reality motion sickness virtual reality field-dependence sense of presence eyes-hand coordination kinetosis |
| title | Predicting VR cybersickness and its impact on visuomotor performance using head rotations and field (in)dependence |
| title_full | Predicting VR cybersickness and its impact on visuomotor performance using head rotations and field (in)dependence |
| title_fullStr | Predicting VR cybersickness and its impact on visuomotor performance using head rotations and field (in)dependence |
| title_full_unstemmed | Predicting VR cybersickness and its impact on visuomotor performance using head rotations and field (in)dependence |
| title_short | Predicting VR cybersickness and its impact on visuomotor performance using head rotations and field (in)dependence |
| title_sort | predicting vr cybersickness and its impact on visuomotor performance using head rotations and field in dependence |
| topic | motion sickness virtual reality field-dependence sense of presence eyes-hand coordination kinetosis |
| url | https://www.frontiersin.org/articles/10.3389/frvir.2023.1307925/full |
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